iPhone 13 Pro
Geekbench AI Score
3888
Single Precision Score
4255
Half Precision Score
4076
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
327.0 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2713
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9260
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10580
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.4 IPS |
|
|
Object Detection (Q)
|
92% |
1860
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4969
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9216
71.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8487
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18737
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18919
24.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17705
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4681
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4521
166.9 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
